Performance comparisons of artificial neural network algorithms in facial expression recognition
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition Using Artificial Neural Networks
Analysis and recognition of human facial expressions from images and video forms the basis for understanding image content at a higher semantic level. Expression recognition forms the core task of intelligent systems based on human–computer interaction (HCI). In this paper, we explore the use of Artificial Neural Networks in performing expression recognition. We analyze seven basic types of hum...
متن کاملPerformance Comparisons of Facial Expression Recognition in Jaffe Database
Facial expression provides an important behavioral measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has recently become a promising research area. Its applications include human-computer interfaces, human emotion analysis, and medical care and cure. In this paper, we investigate various feature representation and expression classificatio...
متن کاملFacial Expression Recognition using Neural Network
This approach proposed a system for the recognition of the facial expression, which can be using cross-correlation of optical flow and mathematical models from the facial points. That defined these facial points of interest in the first frame of an input face sequence image, which utilized manually marker. The facial points were automatically tracked by using a cross-correlation based on optica...
متن کاملFacial Expression Recognition Using a Neural Network
We discuss the development of a neural network for facial expression recognition. It aims at recognizing and interpreting facial expressions in terms of signaled emotions and level of expressiveness. We use the backpropagation algorithm to train the system to differentiate between facial expressions. We show how the network generalizes to new faces and we analyze the results. In our approach, w...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2015
ISSN: 2227-524X
DOI: 10.14419/ijet.v4i4.5069